Santa’s cookie addiction crisis 🍪🍪🍪
Santa’s Weighty Situation
Ho ho ho… or maybe not so ho ho ho this year.
Santa Claus has been facing serious health concerns after an unprecedented rise in cookie consumption last Christmas. 🍪😵
His belt can barely hold, and he has officially outgrown his magical sleigh!
But even more worrying than his waistline are the metabolic complications he’s experiencing…
A Not-So-Jolly Diagnosis
Unlike most individuals with obesity, Santa’s condition shows:
- Increased overall adiposity
- Dyslipidemia (unhealthy blood fats)
- Insulin resistance
- Systemic inflammation
The elves’ medical staff are worried that if this continues…
Santa may not have enough energy to deliver presents around the world! 🎁💔
What the Science Tells Us
A study by Le Chatelier et al. demonstrated that individuals with obesity who have low gut bacterial richness
(also known as Low Gene Count – LGC) experience more severe metabolic disturbances compared to those with higher richness (High Gene Count – HGC).
In short:
> 🧫 A less diverse microbiome may worsen obesity-related health issues.
Santa’s gut microbiota profiles indicate he belongs to the LGC group — which could explain the worrying combination of symptoms he’s facing.
Now it’s up to us — the data scientists and microbiome detectives 🕵️🧠 —
to build a machine-learningg model capable of distinguishing obese vs. non-obese individuals based on their gut microbiome profiles.
Because Santa’s microbiome data is highly confidential (North Pole GDPR is no joke 🧑⚖️🎄),
you’ll only be allowed to evaluate it once your model is trained and validated.
Your mission:
🎯 Predict whether Santa truly belongs to the “obese” group
🧫 Identify which microbial species are protective in lean individuals
💊 Suggest potential probiotic interventions to restore Santa’s health
Help Santa regain his energy, lift-off power, and return to full sleigh-flying strength! 🚀🛷✨
Let’s Get to Work! 🔬🎄
🔍 Exploratory Data Analysis (EDA)
Start by carefully examining the microbiome dataset What are some key findings that stand out in your dataset?
Your mission:
Formulate up to 10 insightful scientific questions, then explore them using
meaningful visualizations and summary statistics. Such as Santa asks himself are girls more happier when receiving present wrapped in pink with a glittery bow?
🤖 Model Development: Obesity Classification with Microbiome Data
Train two machine-learning models capable of predicting whether an individual is obese vs. non-obese from microbiome features.
Additionally, develop two regression models to predict BMI as a continuous outcome from microbiome features.
Then:
- Compare their performance
- Select the best model from classification and regression model to move forward
- Identify which microbial features are most influential in classification
Elf Paula’s Approval Checkpoint 🧝
Before Santa’s confidential data is unlocked,
you must submit your best model to the Elf Review Committee™ for approval.
Once the elves confirm that your model meets North Pole regulatory standards (NP-FDA),
they will provide:
- Santa’s private biomedical data in a independent test set
Your final task:
🎯 Determine Santa’s overweight status with both classification and regresison model
📈 Assess how well your models generalizes to unseen cases 🍬 How well do unseen cases cluster with the ones used for training 💊 Comment which bacteria should we target to improve Santa’s healt